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Muscle Activation Patterns During Variable Resistance Deadlift Training With and Without Elastic Bands

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Abstract

Heelas, T, Theis, N, and Hughes, JD. Muscle activation patterns during variable resistance deadlift training with and without elastic bands. J Strength Cond Res XX(X): 000-000, 2019-The purpose of this study was to determine the effects of band-assisted variable resistance training on muscular activity in the lower limbs and barbell kinematics during the concentric phase of the deadlift. Fifteen resistance trained men (mean ± SD: 28.7 ± 9.3 years; 1.80 ± 0.90 m; 92.5 ± 15.1 kg) performed 6 deadlift repetitions during 4 loading conditions: 100-kg bar (no band), 80-kg bar with 20-kg band tension (B20), 75-kg bar with 25-kg band tension (B25), and 70-kg bar with 30-kg band tension (B30). Muscle activity from the medial gastrocnemius (MG), semitendinosus (ST), vastus medialis (VMO), vastus lateralis (VL), and gluteus maximus (GM) were recorded using surface electromyography during the concentric phase of the lift and expressed as a percentage of each muscle's maximal activity, recorded during a maximal isometric contraction. Barbell power and velocity were recorded using a linear position transducer. Electromyography results showed that muscle activity significantly decreased as band resistance increased in the MG and ST (p < 0.05) and progressively decreased in the GM. No changes were observed for the VMO or VL. Peak and mean bar velocity and power significantly increased as band resistance increased. Performing the deadlift with band-assisted variable resistance increases bar power and velocity, while concurrently decreasing muscle activation of the posterior chain musculature. Practitioners prescribing this exercise may wish to include additional posterior chain exercises that have been shown to elicit high levels of muscle activation.
Variable resistance training 1
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Muscle activation patterns during variable resistance deadlift training with and without 1!
elastic bands. 2!
Thomas Heelas, Nicola Theis, & Jonathan D. Hughes* 3!
4!
Exercise and Sport Research Centre, University of Gloucestershire, Gloucestershire 5!
6!
*Corresponding author: 7!
Jonathan D. Hughes 8!
School of Sport and Exercise 9!
University of Gloucestershire 10!
Oxstalls Campus, Oxstalls Lane, 11!
Gloucester, 12!
Gloucestershire, 13!
GL2 9HW 14!
15!
Jhughes1@glos.ac.uk 16!
+44 1242 715165 17!
18!
19!
Variable resistance training 2
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ABSTRACT 1!
The purpose of this study was to determine the effects of band-assisted variable resistance 2!
training on muscular activity in the lower limbs and barbell kinematics during the concentric 3!
phase of the deadlift. Fifteen resistance trained men (mean ± SD: 28.7 ± 9.3 y; 1.80 ± 0.90 m; 4!
92.5 ± 15.1 kg) performed six deadlift repetitions during four loading conditions; 100 kg bar 5!
(NB), 80 kg bar with 20 kg band tension (B20), 75 kg bar with 25 kg band tension (B25) and 6!
70 kg bar with 30 kg band tension (B30). Muscle activity from the medial gastrocnemius (MG), 7!
semitendinosus (ST), vastus medialis (VMO), vastus lateralis (VL), and gluteus maximus 8!
(GM) were recorded using surface electromyography (sEMG) during the concentric phase of 9!
the lift and expressed as a percentage of each muscle’s maximal activity, recorded during a 10!
maximal isometric contraction. Barbell power and velocity were recorded using a linear 11!
position transducer. Electromyography results showed that muscle activity significantly 12!
decreased as band resistance increased in the MG and ST (p < 0.05) and progressively 13!
decreased in the GM. No changes were observed for the VMO or VL. Peak and mean bar 14!
velocity and power significantly increased as band resistance increased. Performing the deadlift 15!
with band-assisted variable resistance increases bar power and velocity, whilst concurrently 16!
decreasing muscle activation of the posterior chain musculature. Practitioners prescribing this 17!
exercise may wish to include additional posterior chain exercises that have been shown to elicit 18!
high levels of muscle activation. 19!
20!
Key Words: EMG, deadlift, power, velocity, accommodating resistance 21!
Variable resistance training 3
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INTRODUCTION 1!
Success in several sports is dependent on an athletes’ ability to exert high levels of muscular 2!
force and power (1). In sports where there are large volumes of jumping, sprinting and change 3!
of direction, peak power production is paramount (2). The use of traditional resistance training 4!
to increase muscular power is widely implemented in athletic populations (18). However, due 5!
to the length-tension relationship, a constant external load does not allow the muscle to produce 6!
high forces through a full range of motion. Instead, a constant load creates biomechanically 7!
disadvantageous positions for producing maximal force and acceleration (15). One such 8!
position is the start of a deadlift, where the force-producing muscles (quadriceps and gluteal 9!
muscles) are in a lengthened position and therefore limited in their ability to produce maximal 10!
force to overcome the external resistance (20).!During a traditional deadlift exercise, the load 11!
on the bar increases as the barbell is moved through the concentric phase of the movement, 12!
making it increasingly more difficult to maintain a high velocity and acceleration (4,9). Since 13!
power is dependent on both strength and speed, exercises which allow an athlete to maintain 14!
force whilst working at high velocities are necessary, especially as traditional resistance 15!
exercise encourages athletes to decelerate during the latter stages of the concentric phase, 16!
which is not necessarily sport specific. It has been advocated that performing traditional 17!
resistance exercises, such as deadlift, with submaximal loads, prevents the adequate 18!
development of muscular power (16). It has been stated that in order to maximize power in 19!
traditional resistance exercises such as the squat and bench press, loads equating to 30-50% 20!
1RM are sufficient (22,9). However, the optimal load for maximizing power development 21!
during the deadlift is not clearly defined, especially across a range of athletes with different 22!
training backgrounds and strength levels 23!
24!
Variable resistance training 4
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When performing a traditional deadlift using constant load, a large force is needed during the 1!
initial upward phase, causing a greater generation of momentum throughout the movement. 2!
This momentum assists with moving the weight and results in less muscle activity needed 3!
towards the top of the lift. As a result, variable resistance training (VRT), has been proposed 4!
as an alternative modality to enhance power production, by increasing load throughout the 5!
entire concentric phase of a lift (5). In VRT, the resistance generated from elastic bands or 6!
chains, negates the use of momentum towards the top of the lift, and creates a greater demand 7!
for muscle activity through the full range of motion. At biomechanically disadvantageous 8!
positions, resistance is lowered meaning an increase in bar velocity and subsequent stimulation 9!
of more fast-twitch fibres. Thus, with VRT, the athlete is able to maintain high force production 10!
at high velocities during selected resistance exercises. This type of training has been shown to 11!
produce superior strength-power adaptations in comparison to traditional resistance training 12!
(e.g. increased 1 repetition maximum bench press, bench press mean velocity and power) (17) 13!
by allowing athletes to generate greater bar velocities and power during deadlifts, as a result of 14!
decreased initial concentric load (13). 15!
16!
The evidence for the use of VRT to change bar velocity and power is promising (19,11) but the 17!
neuromuscular mechanisms, by which this occurs has produced mixed findings. It has been 18!
demonstrated that vastus lateralis (VL) muscle activity is higher during squats with banded 19!
resistance, though only during early stages of the eccentric phase and at the end of the 20!
concentric phase, coinciding with maximal resistance (13). This was contradicted by Ebben et 21!
al. (7) who showed no changes in muscle activation of the quadriceps and hamstring during a 22!
squat using VRT with bands. Only one study to date has investigated the effects of VRT on 23!
muscle activity during the deadlift (15). In this study, chains were used to apply 24!
accommodating resistance, resulting in decreased gluteus maximus (GM) muscle activity in 25!
Variable resistance training 5
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!
comparison to a traditional free weight condition. Muscle activation levels for the erector 1!
spinae and VL muscles were unaffected by chain use. These results highlight that the modality 2!
of accommodating resistance may influence the effects of VRT. This was supported in two 3!
further studies on kinetics, which showed that, performing the deadlift decreased bar power 4!
and velocity with chains (19) but increased bar power and velocity with bands (11). 5!
6!
No study to date has investigated both lower limb muscle activation and bar velocity and power 7!
with banded variable resistance training during the deadlift. Consequently, the neuromuscular 8!
mechanisms responsible for a potential observed increase in bar power and velocity during the 9!
deadlift exercise remain unclear. Therefore, the purpose of this study was to investigate bar 10!
kinematics and muscle activation of the lower limb during a deadlift, performed with and 11!
without elastic bands as an accommodating resistance. 12!
13!
METHODS 14!
Experimental Approach to the Problem 15!
The study used a randomized, repeated measures, balanced design to investigate the effects of 16!
banded variable resistance on muscle activation, bar velocity and power during the deadlift. 17!
Surface electromyography (EMG) recorded muscle activation of the gluteus maximus (GM), 18!
vastus lateralis (VL), vastus medialis (VMO), semitendinosus (ST), and medial gastrocnemius 19!
(MG) in four deadlift conditions; 100 kg barbell load (NB), 80 kg bar with 20 kg band tension 20!
(B20), 75 kg bar with 25 kg band tension (B25) and 70 kg bar with 30 kg band tension (B30) 21!
(loads were equated at the top of the lift). The load of 100kg at the top of the lift equated to a 22!
mean of 53.6 ± 7.9% of subjects 1RM. Simultaneous measures of bar velocity and power were 23!
also recorded using a linear position transducer. For each condition, participants were 24!
instructed to lift the barbell by applying maximal effort during the concentric phase, and then 25!
Variable resistance training 6
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!
lowering the barbell in a controlled manner. Belts and straps were not allowed to be utilised 1!
during the trial. Prior to the study, a pilot test was carried out to assess intra and inter-set 2!
reliability of banded resistance on kinetic bar variables by calculating intra-class correlation 3!
coefficients. The results demonstrated excellent inter-set reliability (peak power = 0.99, peak 4!
force = 1.00, peak velocity = 0.98) and good intra-set reliability (peak power = 0.80, peak force 5!
= 0.86, peak velocity = 0.82 for intra-set reliability) (14). 6!
7!
Subjects 8!
Fifteen resistance trained men (Mean ± SD: age, 28.7 ± 9.3 y; stature, 1.80 ± 0.9 m; mass, 92.5 9!
± 15.1 kg) with at least 1 year of deadlifting experience (1RM barbell deadlift, 190 ± 28 kg) 10!
volunteered for this study. All participants were free from musculoskeletal injuries and 11!
instructed to refrain from resistance training 48 hours before testing. Ethical approval was 12!
granted by the institutional ethics committee in accordance with the declaration of Helsinki. 13!
All subjects provided written informed consent prior to participating in the study. 14!
Experimental setup 15!
Surface EMG (Biometrics Ltd, MWX8 DataLOG) sampling at 1000 Hz, recorded muscle 16!
activation during the concentric phase of the deadlift, in each condition. To avoid confounding 17!
the EMG signal, participant’s skin was shaved at the electrode placement site and cleaned with 18!
isopropyl alcohol to reduce impedance levels (<10 kΩ) (3). Surface electrodes were placed 19!
over the GM, VL, VM, ST and MG muscles in the direction of the underlying muscle fibres, 20!
with the reference electrode placed over the pisiform bone (www.seniam.org).!Electrodes for 21!
each muscle group were placed on the participants dominant limb, in the following manner: (i) 22!
GM; midway between the sacral vertebrae and the greater trochanter (ii) ST; midway between 23!
the ischial tuberosity and the medial epicondyle of the tibia (iii) VM; 80% along the line 24!
between the anterior spina iliac superior and the joint space in front of the anterior border of 25!
Variable resistance training 7
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the medial ligament (iv) VL; two thirds on the line from the anterior spina iliac superior to the 1!
lateral side of the patella (v) MG; on the most prominent bulge of the muscle. Electrodes were 2!
connected to a Datalog device (Biometrics Data Log PC Software Version 8.51), which used 3!
both a high-pass third order filter (18dB/octave; 20Hz) to remove DC offsets due to membrane 4!
potential, and a lowpass filter for frequencies above 450 Hz. 5!
6!
To record bar velocity and power in each condition, a linear transducer cable, recording at 50 7!
Hz, (GymAware Powertool, Kinetic Performance Technology, Canberra, Australia) was 8!
attached to the centre of the barbell. A barbell load of 100 kg was entered onto the GymAware 9!
software for each deadlift condition to calculate power, as total load with band tension was 10!
approximately the same for each condition. Data for each repetition were collected and stored 11!
on an iPad handheld device. 12!
13!
Band tension measurement 14!
Two elastic bands (Perform Better, Warwickshire, UK) were anchored to dumbbells and 15!
looped over the sleeves of the barbell (Eleiko, Halmstadt, Sweden). Subjects were stationary 16!
in both the lockout and bottom position of the deadlift while standing on a force plate sampling 17!
at 1000Hz (type 9287BA, Kistler Instrumente AG, Winterthur, Switzerland) the mass of the 18!
individual and barbell were accounted for and the resistance produced by the bands at either 19!
position was measured. The band tension was the average over the entire range of motion and 20!
represented 14.61 ± 1.02 to 0.00 ± 0.22 % at the top and bottom of the deadlift. 21!
22!
Procedures 23!
Participants began with an exercise-specific warm-up, including five repetitions at 60 kg, five 24!
repetitions at 80 kg and three repetitions at 100 kg. To allow normalisation of the sEMG signal 25!
Variable resistance training 8
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during the deadlift conditions, maximal sEMG signals were obtained for each muscle group. 1!
To do this, participants performed three, 5 s maximal voluntary isometric contractions (MVIC) 2!
of each exercise: bilateral standing calf raise (MG), seated unilateral 45° knee extension (VM 3!
and VL), unilateral prone hamstring curl (ST) and standing glute squeeze (GM) (feet slightly 4!
wider than shoulder width apart and hips slightly externally rotated). 5!
6!
Following the MVIC testing, participants were given a mandatory 15 min rest period before 7!
performing six repetitions of each deadlift condition with a three-minute rest between each 8!
condition; the order of which was randomised Participants were instructed to perform “dead 9!
stop” repetitions (no rebounding the barbell from the floor) and apply maximal effort during 10!
the concentric phase followed by lowering the barbell in a controlled manner during the 11!
eccentric phase (Figure 1). For each condition, the start and end of the concentric phase was 12!
marked using a manual digital input. 13!
***Insert Figure 1 near here*** 14!
Data processing 15!
Raw electromyographic signals were analysed using a root mean square (RMS) filter with a 16!
moving window length of 100 ms. For each muscle group and for each condition, mean and 17!
peak amplitude over the concentric phase were calculated and expressed relative to each 18!
participants’ highest recorded sEMG amplitude during the MVIC trials. Rate of activation was 19!
also calculated over the concentric phase, as a change in activation over the concentric phase 20!
divided by a corresponding change in time. 21!
22!
Vertical displacement of the barbell was measured from the rotational movement of the spool 23!
by correcting for any motion in the horizontal plane. Instantaneous velocity was determined as 24!
the change in barbell position with respect to time and acceleration data were calculated as the 25!
Variable resistance training 9
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!
change in barbell velocity over the change in time. Acceleration was multiplied by mass to give 1!
force, and power was then subsequently calculated as the product of force and velocity. Power 2!
and velocity were expressed as both peak values and averaged over the concentric phase of the 3!
deadlift. For all variables and for each condition, two of six repetitions were chosen for further 4!
analysis. The two repetitions where peak EMG amplitude was highest and within ± 10%, were 5!
averaged and these same trials were used for power and velocity analyses. 6!
7!
Statistical analyses 8!
A series of one-way repeated measures ANOVA’s were performed to assess differences in 9!
muscle activation between deadlift conditions. Further one-way repeated measures ANOVA’s 10!
were performed to assess differences in bar velocity and power. In the case of a significant 11!
main effect, post-hoc pairwise t-tests with Bonferroni corrections were performed between 12!
conditions to control for Type I errors. Statistical significance was set at p < 0.05 (version 25, 13!
IBM SPSS). Where significant differences were found Cohen’s d was calculated to determine 14!
the magnitude of difference in conditions. Changes were considered trivial <0.2; small 0.2-0.6; 15!
moderate 0.6-1.2; and large 1.2-2 (6). 16!
17!
RESULTS 18!
Electromyography 19!
Results of deadlift condition on mean and peak MVIC% are presented in Table 1. There was 20!
no significant effect of deadlift condition on mean MVIC%. There was a significant main effect 21!
of deadlift condition on peak MVIC% for the MG (F(3,14) = 3.99, p = 0.01) and ST (F(3,14) = 22!
3.90, p = 0.02), but no significant main effect of deadlift condition on peak MVIC% for the for 23!
the GM (F(3,14) = 2.52, p = 0.07), VL (F(3,14) = 0.40, p = 0.750) and VMO (F(3,14) = 0.44, p = 24!
0.720). Post hoc tests showed that peak MVIC% for the MG decreased significantly (p < 0.05) 25!
between NB and B25 (ES = -0.45; 95% CI [-1.17 - 0.28]); NB and B30 (ES = -0.31; 95% CI 26!
Variable resistance training 10
!
!
[-1.03 – 0.41]) and B20 and B25 (ES = -0.31; 95% CI [-1.03 – 0.41]). Peak MVIC% for the ST 1!
decreased significantly (p < 0.05) between NB and B20 (ES = -0.44; 95% CI [-1.16 - 0.29]) 2!
and NB and B25 (ES = -0.40; 95% CI [-1.13 - 0.32]). 3!
***Insert Table 1 near here*** 4!
Results of deadlift condition on rate of activation are presented in Table 2. No significant effect 5!
of deadlift condition on rate of activation was observed for the MG (F(3,14) = 2.77, p = 0.052), 6!
ST (F(3,14) = 0.65, p = 0.580), VMO (F(3,14) = 0.28, p = 0.830), VL (F(3,14) = 0.04, p = 0.980), 7!
and GM (F(3,14) = 1.60, p = 0.200). 8!
***Insert Table 2 near here*** 9!
Power 10!
Results of deadlift condition on bar power are presented in Table 3. There was a significant 11!
main effect of deadlift condition on concentric peak power (F(3,14) = 30.33, p < 0.01) and 12!
concentric mean power (F(3,14) = 39.81, p < 0.01). Post hoc tests revealed that concentric peak 13!
power increased significantly (p < 0.05) between NB and B20 (ES = 0.48; 95% CI [-0.25 - 14!
1.20]); NB and B25 (ES = 0.56; 95% CI [-0.17 - 1.29]) NB and B30 (ES = 0.61; 95% CI [-0.12 15!
– 1.34]) and B20 and B30 (ES = 0.17; 95% CI [-0.55 – 0.88]). No significant differences were 16!
observed between B20 and B25 and B25 and B30. Additionally, concentric mean power 17!
increased significantly (p < 0.05) between NB and B20 (ES = 0.78; 95% CI [0.04 - 1.52]); NB 18!
and B25 (ES = 0.89; 95% CI [0.14 - 1.64]); NB and B30 (ES = 1.00; 95% CI [0.24 - 1.75]) and 19!
B20 and B30 (ES = 0.29; 95% CI [-0.43 - 1.01]). No significant differences were observed 20!
between B20 and B25 and B25 and B30. 21!
***Insert Table 3 near here*** 22!
Velocity 23!
Results of deadlift condition on bar velocity are presented in Table 4. There was a significant 24!
main effect of deadlift condition on concentric mean velocity (F(3,14) = 45.91, p < 0.01) and 25!
Variable resistance training 11
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concentric peak velocity (F(3,14) = 45.77, p < 0.01). Post hoc tests revealed that concentric peak 1!
velocity increased significantly (p <0.05) between NB and B20 (ES = 1.00; 95% CI [0.24 - 2!
1.76]); NB and B25 (ES = 1.00; 95% CI [0.24 - 1.76]) NB and B30 (ES = 0.38; 95% CI [0.04 3!
– 1.53]) and B20 and B30 (ES = 0.37; 95% CI [-0.72 – 0.72]). Additionally, concentric mean 4!
velocity increased significantly (p < 0.05) between NB and B20 (ES = 1.00; 95% CI [0.24 - 5!
1.76]); NB and B25 (ES = 1.26; 95% CI [0.48 – 2.05]); NB and B30 (ES = 1.26; 95% CI [0.48 6!
– 2.05]) and B20 and B30 (ES = 0.63; 95% CI [-0.10 - 1.37]). For both variables, no significant 7!
differences were observed between B20 and B25 and B25 and B30. 8!
***Insert Table 4 near here*** 9!
DISCUSSION 10!
The purpose of this study was to compare bar kinematics and muscle activation of the lower 11!
limb during a deadlift, across various conditions of accommodating elastic band resistance. 12!
The results showed that 1) concentric bar power and velocity progressively increased from NB 13!
to the highest accommodating resistance at B30 2) in general, peak MVIC% for the MG, ST 14!
and GM decreased with accommodating band resistance 3) No differences in peak MVIC% 15!
were observed for the VL and VM 4) No differences in mean MVIC% were observed for any 16!
muscle 5) No differences were observed between conditions in rate of activation for any 17!
muscle. 18!
19!
Our results showed that there was an overall increase in both mean and peak bar power and 20!
velocity as accommodating band resistance increased. These results agree with the previous 21!
research in both the squat (13) and deadlift (11). In the study by Galpin et al. (11), an increase 22!
in accommodating resistance contributing to the overall increased barbell load, caused a 23!
subsequent increase in bar velocity throughout the concentric phase of the deadlift. Mechanical 24!
power is defined as the product of force and velocity. Therefore, as the average load decreases 25!
Variable resistance training 12
!
!
with increasing accommodating band resistance, athletes were able to increase bar velocity, 1!
leading to overall increases in bar power. This result is not surprising, given that with greater 2!
band tension, there is less resistance at the bottom of the lift as more barbell weight is taken off 3!
to accommodate higher band tensions at the top. Interestingly, we found that bar velocity and 4!
power began to plateau at the heavier band resistance loads (B25 and B30), consistent with one 5!
previous finding (21). Wallace et al. (21) found that the increases in peak force with higher 6!
levels of banded resistance were significantly greater than the changes in peak force with low 7!
levels of band tension. Taken together with the results from this study, this suggests a trend 8!
towards a plateau after B30, such that band percentages greater than 25-30% of total load may 9!
have no added benefit to enhancing bar velocity and power. Indeed, Wallace et al. (21) 10!
demonstrated a significant decline in peak power from 85% of 1RM, where 20% of 1RM was 11!
from band tension, to 85% of 1RM where 35% of 1RM was from band tension. 12!
13!
Peak muscle activation decreased significantly in the MG and ST as band resistance increased 14!
but with no changes in the VL, which conflicts with findings in the squat of an increase in 15!
muscle activation. However, the biomechanical differences between the squat and deadlift, (12) 16!
including the potentiation effects during the lowering phase of the squat limit the comparability 17!
of these exercises. There was also a trend in the GM of decreasing muscle activation with 18!
increasing band resistance; consistent with previous studies using chains to provide variable 19!
resistance (5). These results might be explained by an initial lower concentric load as greater 20!
band tension was added to the bar. For example, in high resistance conditions (B30), lower 21!
levels of muscle activation would be required in the initial phase of the deadlift, to overcome 22!
the inertia of the bar, compared to a NB condition (21). Therefore, as the band-to-free weight 23!
ratio increases, less muscle activation would be required to maintain force production and bar 24!
momentum throughout the concentric phase. This is supported by our bar velocity data, 25!
Variable resistance training 13
!
!
whereby an increase in bar velocity is accompanied by a concurrent decrease in peak muscle 1!
activation of the MG, ST and GM. Despite no change in peak muscle activation across 2!
conditions, the anterior chain muscles (VL and VMO) demonstrated an ability to work at near 3!
maximal activation (>86% and >98%, respectively) even at the higher velocities, where the 4!
highest motor unit recruitment occurs for power adaptations (10). However, the result that 5!
mean MVIC% did not change across conditions demonstrates that the total work performed 6!
was not enhanced with increasing band tension. 7!
!8!
The finding that rate of muscle activation (change in activation/change in time) was not 9!
different across conditions, is consistent with the decrease in peak activation and increase in 10!
bar velocity observed in this study. For example, average concentric load was greatest during 11!
the NB condition, resulting in the highest peak muscle activations. However, consistent with 12!
low bar velocity, the time taken to reach peak activation was longest in the NB condition. This 13!
combination of high peak activation over a longer period produces similar rates of activation 14!
to high resistance conditions. In the B30 condition, for example, peak activation was lowest, 15!
but the time taken to reach this peak activation was shorter. The overall result is a finding that 16!
rate of activation is similar across conditions with increasing bar velocity and decreasing peak 17!
activations. 18!
19!
This is the first study to demonstrate neuromuscular responses to banded resistance exercise 20!
during the deadlift. Overall, the results showed a progressive decrease in muscle activation of 21!
the posterior chain musculature as band resistance increased. However, for the GM in 22!
particular, results across individuals showed high variability (<43% to >100%), highlighting 23!
the importance of investigating inter-individual differences in anthropometrics or deadlift 24!
technique with VRT. Indeed, previous studies have demonstrated the effect of different deadlift 25!
Variable resistance training 14
!
!
exercises on muscle activation (5,8), highlighting that technique could be an important factor 1!
related to muscle activation patterns during VRT. It should also be noted that all testing was 2!
performed during a single experimental session and the testing of MVIC’s prior to the testing 3!
of the deadlifts may have had some potentiating or fatiguing effects on the muscles being tested. 4!
5!
PRACTICAL APPLICATIONS 6!
Practitioners prescribing the deadlift with banded variable resistance may wish to include 7!
additional posterior chain exercises that have been shown to elicit high levels of muscle 8!
activation. Conversely, in situations where load needs to be removed from the posterior chain 9!
such as highly intensified blocks of training that include large volumes of high speed running 10!
VRT with higher tension bands may be beneficial. They should also be aware that there may 11!
be no or only minimal additional benefits in power and velocity, when using a band tension 12!
that accounts for or exceeds approximately 30% of the total load. Athletes may gain the most 13!
benefit from performing the deadlift with banded variable resistance when it is implemented 14!
into a peaking or pre-competition phase, due to the increases in bar power and velocity. This 15!
may be of importance to athletes involved in vertical jumping performance (e.g. volleyball or 16!
high jump athletes) due to the requirement on them to have the combination of high force 17!
production coupled with high velocity actions. 18!
19!
REFERENCES 20!
1.!Baker D. A series of studies on the training of high intensity muscle power in rugby 21!
league football players. J Strength Cond Research 15: 198-209, 2001. 22!
2.!Baker D. Comparison of upper-body strength and power between professional and 23!
college-aged rugby league players. J Strength Cond Research 15: 30–35, 2001. 24!
Variable resistance training 15
!
!
3.!Ball N, and Scurr J. An assessment of the reliability and standardisation of tests used 1!
to elicit reference muscular actions for electromyographical normalisation. J 2!
Electromyo Kinesiol 20: 81-88, 2010 3!
4.!Berning, JM, Coker, CA, and Briggs, D. The biomechanical and perceptual influence 4!
of chain resistance on the performance of the Olympic clean. J Strength Cond Res 22: 5!
390–395, 2008. 6!
5.!Ciccone AB, Lynn SK, Brown LE, Coburn JW, and Nijem RM. Electromyographic and 7!
force plate analysis of the Deadlift performed with and without chains. J Strength Cond 8!
Res 30: 1177–1182, 2016. 9!
6.!Cohen J. The T-Test for Means. In: 2nd, ed. Statistical Power Analysis for the 10!
Behavioral Sciences. Hillsdale, MI: Routledge, 1988. pp. 19–74. 11!
7.!Ebben WE, and Jensen RL. Electromyographic and kinetic analysis of traditional, 12!
chain, and elastic band squats. J Strength Cond Res 16: 547–550, 2002. 13!
8.!Escamilla RF, Francisco AC, Kayes AV, Speer KP, and Moorman CT. An 14!
electromyographic analysis of sumo and conventional style deadlifts. Med Sci Sports 15!
Ex 34: 682–688, 2002. 16!
9.!Frost, DM, Cronin, JB, and Newton, RU. Have we underestimated the kinematic and 17!
kinetic benefits of non-ballistic motion? Sports Biomech 7: 372–385, 2008. 18!
10.!Frost, DM, Cronin, J, and Newton, RU. A biomechanical evaluation of resistance 19!
fundamental concepts for training and sports performance. Sports Med 40: 303–326, 20!
2010. 21!
11.!Galpin AJ, Malyszek KK, Davis KA, Record SM, Brown LE, Coburn JW, et al. 22!
Acute effects of elastic bands on kinetic characteristics during the deadlift at moderate 23!
and heavy loads. J Strength Cond Res 29: 3271–3278, 2015. 24!
Variable resistance training 16
!
!
12.!Hales, ME, Johnson, BF, and Johnson, JT. Kinematic analysis of the powerlifting 1!
style squat and the conventional deadlift during competition: Is there a cross-over 2!
effect between lifts?.J Strength Cond Res 23: 2574–2580, 2009. 3!
13.!Israetel, M. A., McBride, J. M., Nuzzo, J. L., Skinner, J. W., & Dayne, A. M. Kinetic 4!
and kinematic differences between squats performed with and without elastic bands. J 5!
Strength Cond Res 24: 190–194, 2010. 6!
14.!Koo TK and Li MY. A Guideline of Selecting and Reporting Intraclass Correlation 7!
Coefficients for Reliability Research. J of Chirop Med 15: 155-163, 446, 2016. 8!
15.!Nijem 9!
16.!Newton, RU, Kraemer, WJ, Hakkinen, K, Humphries, BJ, and Murphy, AJ. 10!
Kinematics, kinetics, and muscle activation during explosive upper body movements. 11!
J Appl Biomech 12: 31–43, 1996. 12!
17.!Rivière M, Louit L, Strokosch A, and Seitz LB. Variable resistance training promotes 13!
greater strength and power adaptations than traditional resistance training in elite 14!
youth rugby league players. J Strength Cond Res 31: 947–955, 2017. 15!
18.!Siegel JA, Gilders RM, Staron RS, Hagerman FC. Human muscle power output 16!
during upper- and lower-body exercises. J Strength Cond Res 16: 173–178, 2002. 17!
19.!Swinton PA, Stewart AD, Keogh, JWL, Agouris I, and Lloyd R. Kinematic and 18!
kinetic analysis of maximal velocity deadlifts performed with and without the 19!
inclusion of chain resistance. J Strength Cond Res 25: 3163–3174, 2011. 20!
20.!Swinton PA, Stewart A, Agouris I, Keogh JW, Lloyd R. A biomechanical analysis of 21!
straight and hexagonal barbell deadlifts using submaximal loads. J Strength Cond Res 22!
25:2000-9, 2011. 23!
Variable resistance training 17
!
!
21.!Wallace BJ, Winchester JB, and McGuigan MR. Effects of elastic bands on force and 1!
power characteristics during the back-squat exercise. J Strength Cond Res, 20: 268, 2!
2006. 3!
22.!Zink AJ, Perry AC, Robertson BL, Roach KE, and Signorile, JF. Peak power, ground 4!
reaction forces, and velocity during the squat exercise performed at different loads. J 5!
Strength Cond Res 20: 658–664, 2006. 6!
7!
8!
Variable resistance training 18
!
!
1!
Figure 1. Experimental setup of the banded deadlift condition 2!
Variable resistance training 19
!
!
1!
Table 1. Electromyographic (EMG)!results of peak and mean MVIC (%) during no band, B20, 2!
B25 and B30 conditions. Values are mean ± SD. 3!
4!
Condition
GM
ST
VL
VMO
MG
NB
Peak
124.7 ± 46.4
99.6 ± 28.4
89.6 ± 33.5
101.6 ± 23.3
46.4 ± 17.7
Mean
78.3 ± 30.1
61.1 ± 18.6
81.7 ± 20.7
69.4 ± 28.3
30.0 ± 11.9
B20
Peak
118.7 ± 45.0
88.9 ± 19.6*
86.3 ± 25.3
101.7 ± 27.1
43.5 ± 13.2
Mean
76.1 ± 31.6
55.9 ± 12.1
81.4 ± 22.3
67.5 ± 21.9
29.3 ± 8.3
B25
Peak
116.0 ± 42.9
88.7 ± 25.7*
87.3 ± 25.4
100.7 ± 27.5
39.0 ± 15.4*†
Mean
76.5 ± 28.9
56.1 ± 15.9
82.2 ± 24.4
69.4 ± 23.3
26.9 ± 9.6
B30
Peak
112.5 ± 38.6
92.6 ± 24.6
88.0 ± 29.5
98.3 ± 26.4
41.4 ± 14.5*
Mean
74.4 ± 24.9
61.3 ± 18.7
81.0 ± 23.5
70.1 ± 25.5
29.9 ± 9.7
* denotes statistically significant different to NB (p < 0.05). denotes statistically significant 5!
different to B20 (p < 0.05). 6!
! !7!
Variable resistance training 20
!
!
Table 2. Results of rate of activation (mV·s-1) during no band, B20, B25 and B30 conditions. 1!
Values are mean ± SD.! 2!
3!
Rate of Activation (mV·s-1)
GM
ST
VL
VMO
MG
NB
0.2 ± 0.1
0.4 ± 0.2
0.2 ± 0.1
0.3 ± 0.1
0.2 ± 0.1
B20
0.2 ± 0.1
0.3 ± 0.1
0.2 ± 0.1
0.3 ± 0.1
0.2 ± 0.1
B25
0.3 ± 0.1
0.3 ± 0.2
0.3 ± 0.1
0.3 ± 0.2
0.2 ± 0.1
B30
0.2 ± 0.1
0.4 ± 0.2
0.3 ± 0.1
0.3 ± 0.2
0.2 ± 0.1
4!
5!
Variable resistance training 21
!
!
Table 3. Results of peak and mean power (W) during no band, B20, B25 and B30 conditions. 1!
Values are mean ± SD. 2!
3!
Condition
Peak Power (W)
Mean Power (W)
NB
1285.8 ± 409.9
722.6 ± 138.6
B20
1493.4 ± 462.3*
835.7 ± 151.3*
B25
1548.7 ± 515.8*
857.3 ± 164.4*
B30
1576.1 ± 533.0*†
884.0 ± 182.5*†
* denotes statistically significant different to NB (p < 0.05). denotes statistically significant 4!
different to B20 (p < 0.05). 5!
6!
Variable resistance training 22
!
!
Table 4. Results of peak and mean velocity (m·s-1) during no band, B20, B25 and B30 1!
conditions. Values are mean ± SD.!!2!
!3!
Condition
Peak Velocity (m·s-1)
Mean Velocity (m·s-1)
NB
1.2 ± 0.2
0.7 ± 0.1
B20
1.4 ± 0.2*
0.8 ± 0.1*
B25
1.4 ± 0.2*
0.9 ± 0.2*
B30
1.4 ± 0.3*†
0.9 ± 0.2*†
* denotes statistically significant different to NB (p < 0.05). denotes statistically significant 4!
different to B20 (p < 0.05). 5!
... Of these, chains are the easiest to implement in training, by just attaching the chains to the barbell. Several studies have examined the acute effects of attaching chains to the barbell; however, most of these were studies in exercises for the lower body [13][14][15][16][17][18]. To the best of our knowledge, only two studies have examined upper body exercises [19,20]. ...
... In addition, the difference in load from the bottom-to top-matched positions with chains was much higher in the study of Baker and Newton [19] than in the present study (15% vs. 5.1%), which also could influence the lifting velocity. This speculation is supported by previous studies [13,14]. For example, Heelas et al. [14] compared lifting velocity in the deadlift between using only free weights and using free weights combined with a different percentage of variable resistance. ...
... This speculation is supported by previous studies [13,14]. For example, Heelas et al. [14] compared lifting velocity in the deadlift between using only free weights and using free weights combined with a different percentage of variable resistance. The authors reported that the mean velocity increased as the contribution from the variable resistance was increased. ...
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The aim of the study was to investigate the acute effects of attaching chains on barbell kinematics and muscle activation in the bench press. Twelve resistance-trained men (height: 1.79 ± 0.05 m, weight: 84.3 ± 13.5 kg, one repetition maximum (1-RM) bench press of 105 ± 17.1 kg) lifted three repetitions of bench press in three conditions: (1) conventional bench press at 85% of 1-RM and bench press with chains that were (2) top-matched and (3) bottom-matched with the resistance from the conventional resistance lift. Barbell kinematics and the muscle activity of eight muscles were measured at different heights during lowering and lifting in the three conditions of the bench press. The main findings were that barbell kinematics were altered using the chains, especially the 85% bottom-matched condition that resulted in lower peak velocities and longer lifting times compared with the conventional 85% condition (p ≤ 0.043). However, muscle activity was mainly only affected during the lowering phase. Based upon the findings, it was concluded that using chains during the bench press alters barbell kinematics, especially when the resistance is matched in the bottom position. Furthermore, muscle activation was only altered during the lowering phase when adding chains to the barbell.
... The correlation analysis between the fNIRS-sEMG synchronization method in the brain region and the Oxy-Hb concentration revealed that different rehabilitation tasks with robot-assisted hand functional therapy yielded varying effects on forearm muscle movement. Mirror rehabilitation promotes nerve regeneration and muscle coordination (42), resistance rehabilitation enhances muscle strength and endurance (43), and passive rehabilitation aids in muscle relaxation and improves joint mobility (44). ...
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Background Robot-assisted hand function therapy is pivotal in the rehabilitation of patients with stroke; however, its therapeutic mechanism remains elusive. Currently, research examining the impact of robot-assisted hand function therapy on brain function in patients with stroke is scarce, and there is a lack of studies investigating the correlation between muscle activity and alterations in brain function. Objective This study aimed to investigate the correlation between forearm muscle movement and brain functional activation by employing the synchronized use of functional near-infrared spectroscopy and surface electromyography methods. Moreover, it sought to compare neural activity patterns during different rehabilitation tasks and refine the mechanism of robot-assisted hand function therapy for post-stroke hand function impairments. Methods Stroke patients with hand dysfunction underwent three sessions of robot-assisted hand function therapy within 2 weeks to 3 months of onset. The fNIRS-sEMG synchronous technique was used to observe brain function and forearm muscle activation. Ten participants were randomly assigned to receive mirror, resistance, or passive rehabilitation training. During the intervention, cortical and muscle activation information was obtained using fNIRS and electromyographic signals. The primary outcomes included changes in oxyhemoglobin concentration and root mean square of surface electromyography. Results Compared to the resting state, the Oxy-Hb concentration in the brain regions involved in three rehabilitation tasks with robot-assisted hand function therapy significantly increased (p < 0.05). Mirror therapy significantly enhanced the prefrontal cortex and the superior frontal cortex activation levels. In contrast, resistance therapy significantly promoted the activation of the supplementary motor area and the premotor cortex. Passive rehabilitation tasks showed some activation in the target brain area premotor cortex region. Robot-assisted hand function therapy has shown that forearm muscle movement is closely related to oxygenated hemoglobin concentration activity in specific brain regions during different rehabilitation tasks. Conclusion The simultaneous sEMG-fNIRS study found a significant correlation between muscle movement and brain activity after stroke, which provides an important basis for understanding the treatment mechanism of hand function impairment.
... The presence of a sticking point decreases the speed during the second half of the resistance movement (Haff, 2016), leading to an inconsistent magnitude of mechanical stimulus throughout the range of motion (Andersen et al., 2022). Variable resistance training (VRT) refers to methods that combine iron chains, elastic bands, and free-weights to enhance both maximum and explosive strengths (Heelas et al., 2021). It could be argued that using variable resistance would shorten the deceleration phase and hence increase the barbell velocity and mean power throughout the movement (Andersen et al., 2022). ...
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Objectives This study explored the effects of 6 weeks of variable resistance training (VRT) and constant resistance training (CRT) within complex training, on muscle strength and punch performance. Methods Twenty-four elite female boxers from the China National team were divided randomly between an experimental group (VRT) and a control group (CRT). Maximum strength of the upper and lower limbs, countermovement jump (CMJ) performance, and punch performance (single, 10s and 30s continuous) were assessed pre- and post- intervention. Results VRT and CRT showed significant increases (p < 0.001) in the bench press (ES = 1.79 and 1.07, respectively), squat (ES = 1.77 and 1.10, respectively), and CMJ (ES = 1.13 and 0.75, respectively). The bench press (p < 0.05) and squat (p < 0.05) improved significantly more following VRT compared to CRT. Additionally, single punch performance (speed, force, and power) increased significantly in the experimental group (ES = 1.17–1.79) and in the control group (ES = 0.58–1.32), except for the lead punch force in the control group (p > 0.05, ES = 0.20). 10s continuous punch performance (number, speed, force, and power) increased significantly (both p < 0.05) in the experimental group (ES = 0.52–1.65) and in the control group (ES = 0.32–0.81). 30s continuous punch performance (number, force, and power) increased significantly increased significantly (both p < 0.05). However, no statistically significant differences were found between groups for punch performance. Conclusion These findings provide evidence that VRT may improve maximum muscle strength in both upper and lower limbs, vertical jump and punch performance in elite amateur boxers.
... 4,5 More specifically, by reducing the free weight load, there is potential to alleviate the negative effects (eg, decreased velocity 2 ) of the sticking region; as the joints extend to the range of motion where the muscles can produce more force, the external load is accordingly increased to a greater extent. Empirical evidence supports that a larger contribution of the elastic resistance results in greater velocity, 6,7 force, 6,8 power output, 6,9 and muscle activation 10 compared with when a lower contribution of the elastic resistance is used. However, Heelas et al 7 compared the effect of 20, 25, and 30 kg elastic resistance on muscle activity during the deadlift. ...
Article
Purpose : Performing back squats with elastic bands has been widely used in resistance training. Although research demonstrated greater training effects obtained from adding elastic bands to the back squat, little is known regarding the optimal elastic resistance and how it affects neuromuscular performance. This study aimed to compare the force, velocity, power, and muscle activity during back squats with different contributions of elastic resistance. Methods : Thirteen basketball players performed 3 repetitions of the back squat at 85% of 1-repetition maximum across 4 conditions: (1) total load from free weight and (2) 20%, (3) 30%, and (4) 40% of the total load from elastic band and the remaining load from free weight. The eccentric and concentric phases of the back squat were divided into upper, middle, and bottom phases. Results : In the eccentric phase, mean velocity progressively increased with increasing elastic resistance, and muscle activity of the vastus medialis and rectus femoris significantly increased with the largest elastic resistance in the upper phase ( P ≤ .036). In the concentric phase, mean power ( P ≤ .021) and rate of force development ( P ≤ .002) significantly increased with increasing elastic resistance. Furthermore, muscle activity of the vastus lateralis and vastus medialis significantly improved with the largest elastic resistance in the upper phases ( P ≤ .021). Conclusion : Velocity, power, rate of force development, and selective muscle activity increased as the elastic resistance increased in different phases during the back-squat exercise.
... Another study investigated the effects of band variable resistance exercise on muscle activation [19]. The study , s findings indicated a significant decrease in muscle activity in the medial gastrocnemius and semitendinosus as band resistance increased. ...
Article
The deadlift is a fundamental exercise in resistance training, essential for the development of overall strength and power. This review synthesizes current research on kinematics and electromyographic (EMG) activity during deadlifts, highlighting the effects of different variations and techniques on performance and muscle activation. Kinematic studies have revealed significant differences in joint angles and movement patterns between conventional and sumo deadlifts, emphasizing the importance of technique and experience in optimizing performance and reducing injury risk. EMG analysis has also revealed distinct muscle activation profiles for key muscles, such as the vastus lateralis, gluteus maximus, and hamstrings, across different deadlift variations. These findings are critical for designing effective, individualized training programs in strength and conditioning, as well as developing targeted rehabilitation and injury prevention strategies in sports medicine. By understanding the biomechanical and neuromuscular dynamics of the deadlift, practitioners can improve performance, minimize injury risk, and tailor interventions to the specific needs of athletes. Thus, this review provides a comprehensive overview of the current understanding of deadlift kinematics and EMG activity, offering valuable insights for optimizing training and rehabilitation protocols.
... Previous research on banded barbell deadlifts has employed diverse approaches to determine the comparative load, such as estimating the 1-repetition maximum (1RM) or using a percentage of the 1RM. For instance, Galpin et al. [51] used 90% of the estimated 1RM, Andersen et al. [32] based it on the estimated 2RM, Heelas et al. [52] used either 100 kg at the top or 54% of the 1RM, and Andersen et al. [33] used one repetition of the 2RM. A study by van den Tillaar et al. [53] found that muscle activation during "maximal intended velocity" lifting is similar between 70∼90% of the 1RM. ...
... In regard to VR, multiple studies have investigated amplitudes using bands and chains versus traditional training modalities [26][27][28][29][30] . Although such studies are of general interest, bands and chains alter kinetics by increasing resistance in an ascending fashion and thus results cannot be compared to the present study. ...
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The purpose of this study was to compare the effects of electromagnetic resistance alone, as well as in combination with variable resistance or accentuated eccentric methods, with traditional dynamic constant external resistance exercise on myoelectric activity during elbow flexion. The study employed a within-participant randomized, cross-over design whereby 16 young, resistance-trained male and female volunteers performed elbow flexion exercise under each of the following conditions: using a dumbbell (DB); using a commercial electromagnetic resistance device (ELECTRO); variable resistance (VR) using a setting on the device that attempts to match the level of resistance to the human strength curve, and; eccentric overload (EO) using a setting on the device that increases the load by 50% on the eccentric portion of each repetition. Surface electromyography (sEMG) was obtained for the biceps brachii, brachioradialis and anterior deltoid on each of the conditions. Participants performed the conditions at their predetermined 10 repetition maximum. " The order of performance for the conditions was counterbalanced, with trials separated by a 10-min recovery period. The sEMG was synced to a motion capture system to assess sEMG amplitude at elbow joint angles of 30°, 50°, 70°, 90°, 110°, with amplitude normalized to the maximal activation. The anterior deltoid showed the largest differences in amplitude between conditions, where median estimates indicated greater concentric sEMG amplitude (~ 7–10%) with EO, ELECTRO and VR compared with DB. Concentric biceps brachii sEMG amplitude was similar between conditions. In contrast, results indicated a greater eccentric amplitude with DB compared to ELECTRO and VR, but unlikely to exceed a 5% difference. Data indicated a greater concentric and eccentric brachioradialis sEMG amplitude with DB compared to all other conditions, but differences were unlikely to exceed 5%. The electromagnetic device tended to produce greater amplitudes in the anterior deltoid, while DB tended to produce greater amplitudes in the brachioradialis; amplitude for the biceps brachii was relatively similar between conditions. Overall, any observed differences were relatively modest, equating to magnitudes of ~ 5% and not likely greater than 10%. These differences would seem to be of minimal practical significance.
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Background The conventional deadlift is a popular exercise for improving trunk, core, and lower extremity strength due to its functional nature and engagement of multiple joints. However, its use in sports medicine facilities is limited due to concerns about potential lumbar injuries despite evidence supporting the safety and rehabilitative benefits of deadlifts. Understanding lifting mechanics and muscle activation is crucial for optimizing muscle activation using resistive bands in variable resistance therapy. We explored the feasibility of using resistive bands in the conventional deadlift to reduce initial trunk load during forward trunk inclination while gradually increasing resistance as the deadlift progresses. A secondary objective was to provide customized resistance recommendations for injured athletes during the deadlift exercise, based on findings from healthy participants and utilizing dose-response band selection. Methods Surface electromyography recorded muscle activity in the trunk and lower extremities during lifting, with normalization to the isometric Floor Lift using Maximal Voluntary Contraction. Kinematics were measured using inclinometer sensors to track hip and trunk sagittal plane angles. To prevent fatigue, each subject only used one of the three pairs of bands employed in the study. Results Forty-five healthy subjects (mean age: 30.4 ± 6.3 years) participated. Baseline characteristics were similar among the three study groups, except for years of lifting and strength-to-years-of-lifting ratio. Compared to the conventional deadlift group, different resistance band groups showed significantly higher muscle activity in various muscles during different phases of the deadlift. The minimal resistance band group had significantly higher muscle activity in trunk, core, and lower extremity muscles, particularly in the end phase. The moderate resistance band group exhibited higher muscle activity in the mid- and end-phases. The maximum resistance band group had higher muscle activity in several specific muscles during the early phase and overall increased activity in all trunk and lower extremity muscles during the mid and end phases of the deadlift (p < 0.05). Conclusion Findings provide valuable insights into the differential muscle activation associated with various resistance bands during deadlift exercise in the clinic and gym settings. There appears to be a dose-response relationship between increased resistance band width, external load, myoelectric activation, and range.
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Objective: Acute effects of variable resistance training (VRT) and constant resistance training (CRT) on neuromuscular performance are still equivocal. We aimed to determine the differences between VRT and CRT in terms of force, velocity, and power outcomes. Methods: We searched PubMed, Web of Science, and SPORTDiscus electronic databases for articles until June 2021. Crossover design studies comparing force, velocity, and power outcomes while performing VRT and CRT were included. Two reviewers independently applied the modified version of the Cochrane Collaboration's tool to assess the risk of bias. A three-level random effects meta-analyses and meta-regressions were used to compute standardized mean differences (SMDs) and 95% confidence intervals. Results: We included 16 studies with 207 participants in the quantitative synthesis. Based on the pooled results, VRT generated greater mean velocity (SMD = 0.675; moderate Grading of Recommendations Assessment, Development and Evaluation (GRADE) quality evidence) and mean power (SMD = 1.022; low) than CRT. Subgroup analyses revealed that VRT considerably increased the mean velocity (SMD = 0.903; moderate) and mean power (SMD = 1.456; moderate) in the equated loading scheme and the mean velocity (SMD = 0.712; low) in the CRT higher loading scheme. However, VRT marginally significantly reduced peak velocity (SMD = -0.481; low) in the VRT higher loading scheme. Based on the meta-regression analysis, it was found that mean power (p = 0.014-0.043) was positively moderated by the contribution of variable resistance and peak velocity (p = 0.018) and peak power (p = 0.001-0.004) and RFD (p = 0.003) were positively moderated by variable resistance equipment, favoring elastic bands. Conclusions: VRT provides practitioners with the means of emphasizing specific force, velocity, and power outcomes. Different strategies should be considered in context of an individual's needs. Systematic review registration: PROSPERO CRD42021259205.
Chapter
Variable resistance training devices have become a widespread tool in strength programs. One of the advantages of using this type of training device is the increase or decrease of the external resistance throughout the range of movement. In addition to the good results obtained by the use of elastic bands and chains, which have become widely popular due to their positive adaptations in the expression of strength, versatility, and ease of use, the use of conical pulleys has been added in recent years. In this chapter, we will describe how to approach training with variable resistance training devices, although they are a very ecological resource within the training process and have a wider range of possibilities than the most commonly used. We will take a journey from a traditional vision to offer a more contemporary vision, based on our personal experience, both in high performance and in the rehabilitation and prevention of sports injuries. In addition, there will be a brief introduction and contextualization of the concepts of dynamic rotational stability and vector diversification, proposals to optimize the use of training resources with variable resistance.
Poster
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Strength athletes commonly use elastic bands as a training method to increase performance. The purpose of this study was to investigate the effect of elastic bands on force, power, and rate of force development (RFD) during the back squat exercise. Ten recreationally resistance trained subjects (4 women, 6 men, mean age 21.3 yrs. ± 1.49) were tested for 1RM squat weight (mean 117.64 kg +/-48.17) on a Smith Machine. Subjects were tested on two separate days, with two sets of three repetitions being performed for each condition. Testing was conducted at 60% and 85% of 1RM with and without using elastic bands (BNS Bungee Band system, Power-Up USA, Inc, Milwaukee, WI). In addition, two elastic band loading conditions were tested (B1 and B2) at each of the two resistances. B1 represents where 20% of the total resistance was acquired from bands, and B2 represents where 35% was acquired from bands. The subjects completed the back squat under each condition, while force, power and RFD was recorded using a force platform (Quattro Pro, Kistler). There was a significant increase in peak force between NB-85 and B2-85 of 16% (P < 0.05). There was also a significant difference of 5% between B1-85 and B2-85. There was a significant increase in peak power between NB-85 and B1-85 of 24%. No significant differences were observed in RFD during the 85% conditions, or for any of the variables during the 60% conditions. The results suggest that the use of elastic bands can significantly increase peak power and force output during the back squat. However, the greatest differences are observed during the higher loading conditions. These results indicate that higher degrees of force and power can be generated without the use of additional resistance. Further research is required to determine the long-term efficacy of this training technique.
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The purpose of this study was to examine the strength, velocity and power adaptations in youth rugby league players in response to a variable resistance training (VRT) or traditional free-weight resistance-training (TRAD) intervention.Sixteen elite youth players were assigned to a VRT or TRAD group and completed two weekly upper and lower-body strength and power sessions for 6 weeks. Training programs were identical except that the VRT group trained the bench press exercise with 20% of the prescribed load coming from elastic bands. Bench press 1RM as well as bench press mean velocity and power at 35, 45, 65, 75 and 85% of 1RM were measured before and after the training intervention and the magnitude of the changes was determined using effect sizes (ESs).The VRT group experienced larger increases in both absolute (ES= 0.46 vs. 0.20) and relative (ES= 0.41 vs. 0.19) bench press 1RM. Similar results were observed for mean velocity as well as both absolute and relative mean power at 35, 45, 65, 75 and 85% of 1RM. Furthermore, both groups experienced large gains in both velocity and power in the heavier loads but small improvements in the lighter loads. The improvements in both velocity and power against the heavier loads were larger for the VRT group while smaller differences existed between the two groups at the lighter loads.VRT using elastic bands may offer a greater training stimulus than traditional free-weight resistance training to improve upper-body strength, velocity and power in elite youth rugby league players.
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Loading a barbell with variable resistance positively alters kinetic characteristics during the back squat and bench press, but has never been studied during the deadlift. The purpose of this project was to examine the acute effects of combining elastic bands and free-weights during the deadlift at moderate and heavy loads. Twelve trained men (age 24.08+/-2.35y, height 175.94+/-5.38cm, mass 85.58+/-12.49kg, deadlift 1RM 188.64+/-16.13kg) completed two variable resistance (B1, B2) and one traditional free-weight (NB) condition at both 60% and 85%1RM on a force plate. B1 had 15% resistance from bands, with the remaining 85% from free weights. B2 had 35% bands and 65% free-weights. NB used free-weights only. Average resistance was equated for all conditions. Power and velocity generally increased while force decreased with the addition of bands. The amount of band tension (B1 or B2) had little impact on power when lifting at 60%1RM. However, greater resistance from bands resulted in greater peak and relative power when lifting at 85%1RM. Adding elastic bands decreased time to peak force, time between peak force and peak power, and time between peak force and peak velocity when compared to NB at 60%1RM (NB>B1>B2). These differences only reached significance for NB>B2 when lifting at 85%1RM. This same differences existed for time between peak power and peak velocity. Thus, the amount of tension from bands has less impact on interpeak variables at heavier absolute loads. Practitioners should consider using heavy bands when prescribing the deadlift for speed or power, but not maximal force.
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The aim of this study was to investigate the kinematics, kinetics, and neural activation of the traditional bench press movement performed explosively and the explosive bench throw in which the barbell was projected from the hands. Seventeen male subjects completed three trials with a bar weight of 45% of the subject's previously determined lRM. Performance was significantly higher during the throw movement compared to the press for average velocity, peak velocity, average force, average power, and peak power. Average muscle activity during the concentric phase for pectoralis major, anterior deltoid, triceps brachii, and biceps brachii was higher for the throw condition. It was concluded that performing traditional press movements rapidly with light loads does not create ideal loading conditions for the neuromuscular system with regard to explosive strength production, especially in the final stages of the movement, because ballistic weight loading conditions where the resistance was accelerated throughout the movement resulted in a greater velocity of movement, force output, and EMG activity.
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The purpose of the investigation was to compare the kinematics and kinetics of the deadlift performed with 2 distinct barbells across a range of submaximal loads. Nineteen male powerlifters performed the deadlift with a conventional straight barbell and a hexagonal barbell that allowed the lifter to stand within its frame. Subjects performed trials at maximum speed with loads of 10, 20, 30, 40, 50, 60, 70, and 80% of their predetermined 1-repetition maximum (1RM). Inverse dynamics and spatial tracking of the external resistance were used to quantify kinematic and kinetic variables. Subjects were able to lift a heavier 1RM load in the hexagonal barbell deadlift (HBD) than the straight barbell deadlift (SBD) (265 ± 41 kg vs. 245 ± 39 kg, p < 0.05). The design of the hexagonal barbell significantly altered the resistance moment at the joints analyzed (p < 0.05), resulting in lower peak moments at the lumbar spine, hip, and ankle (p < 0.05) and an increased peak moment at the knee (p < 0.05). Maximum peak power values of 4,388 ± 713 and 4,872 ± 636 W were obtained for the SBD and HBD, respectively (p < 0.05). Across the submaximal loads, significantly greater peak force, peak velocity and peak power values were produced during the HBD compared to during the SBD (p < 0.05). The results demonstrate that the choice of barbell used to perform the deadlift has a significant effect on a range of kinematic and kinetic variables. The enhanced mechanical stimulus obtained with the hexagonal barbell suggests that in general the HBD is a more effective exercise than the SBD.
Article
Objective: Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis. Discussion for researchers: There are 10 forms of ICCs. Because each form involves distinct assumptions in their calculation and will lead to different interpretations, researchers should explicitly specify the ICC form they used in their calculation. A thorough review of the research design is needed in selecting the appropriate form of ICC to evaluate reliability. The best practice of reporting ICC should include software information, "model," "type," and "definition" selections. Discussion for readers: When coming across an article that includes ICC, readers should first check whether information about the ICC form has been reported and if an appropriate ICC form was used. Based on the 95% confident interval of the ICC estimate, values less than 0.5, between 0.5 and 0.75, between 0.75 and 0.9, and greater than 0.90 are indicative of poor, moderate, good, and excellent reliability, respectively. Conclusion: This article provides a practical guideline for clinical researchers to choose the correct form of ICC and suggests the best practice of reporting ICC parameters in scientific publications. This article also gives readers an appreciation for what to look for when coming across ICC while reading an article.
Conference Paper
The purpose of this study was to determine the effects of deadlift chain variable resistance on surface electromyography (EMG) of the gluteus maximus, erector spinae, and vastus lateralis muscles, ground reaction forces (GRFs), and rate of force development (RFD). Thirteen resistance trained men (24.0 ± 2.1 y, 179.3 ± 4.8 cm, 87.0 ± 10.6 kg) volunteered for the study. On day one, subjects performed 1 repetition maximum (1RM) testing of the deadlift exercise. On day two, subjects performed one set of three repetitions with a load of 85% 1RM with (CH) and without chains (NC). The order of the CH and NC conditions was randomly determined for each subject. For the CH condition, the chains accounted for approximately 20% (19.9 ± 0.6%) of the 85% 1RM load, matched at the top of the lift. Surface EMG was recorded to differentiate muscle activity between conditions (CH, NC), range of motion (ROM; bottom, top) and phase (concentric, eccentric). Peak GRFs and RFD were measured using a force plate. EMG results revealed that for the gluteus maximus there was significantly greater EMG activity during the NC condition versus the CH condition. For the erector spinae, EMG activity was greater at the bottom than the top ROM (p < 0.05). Force plate results revealed that deadlifting at 85% 1RM with an accommodating chain resistance of approximately 20% results in a reduction in GRFs (p < 0.05) and no change in RFD (p > 0.05). Collectively, these results suggest that the use of chain resistance during deadlifting can alter muscle activation and force characteristics of the lift.
Article
The purpose of this study was to investigate whether the deadlift could be effectively incorporated with explosive resistance training (ERT) and to investigate whether the inclusion of chains enhanced the suitability of the deadlift for ERT. Twenty-three resistance trained athletes performed the deadlift with 30, 50, and 70% 1-repetition maximum (1RM) loads at submaximal velocity, maximal velocity (MAX), and MAX with the inclusion of 2 chain loads equal to 20 or 40% of the subjects' 1RM. All trials were performed on force platforms with markers attached to the barbell to calculate velocity and acceleration using a motion capture system. Significant increases in force, velocity, power, rate of force development, and length of the acceleration phase (p < 0.05) were obtained when repetition velocity increased from submaximal to maximal. During MAX repetitions with a constant resistance, the mean length of the acceleration phase ranged from 73.2 (±7.2%) to 84.9 (±12.2%) of the overall movement. Compared to using a constant resistance, the inclusion of chains enabled greater force to be maintained to the end of the concentric action and significantly increased peak force and impulse (p < 0.05), while concurrently decreasing velocity, power, and rate of force development (p < 0.05). The effects of chains were influenced by the magnitude of the chain and barbell resistance, with greater increases and decreases in mechanical variables obtained when heavier chain and barbell loads were used. The results of the investigation suggest that the deadlift can be incorporated effectively in ERT programs. Coaches and athletes should be aware that the inclusion of heavy chains may have both positive and negative effects on kinematics and kinetics of an exercise.
Article
Newton's second law of motion describes the acceleration of an object as being directly proportional to the magnitude of the net force, in the same direction as the net force and inversely proportional to its mass (a = F/m). With respect to linear motion, mass is also a numerical representation of an object's inertia, or its resistance to change in its state of motion and directly proportional to the magnitude of an object's momentum at any given velocity. To change an object's momentum, thereby increasing or decreasing its velocity, a proportional impulse must be generated. All motion is governed by these relationships, independent of the exercise being performed or the movement type being used; however, the degree to which this governance affects the associated kinematics, kinetics and muscle activity is dependent on the resistance type. Researchers have suggested that to facilitate the greatest improvements to athletic performance, the resistance-training programme employed by an athlete must be adapted to meet the specific demands of their sport. Therefore, it is conceivable that one mechanical stimulus, or resistance type, may not be appropriate for all applications. Although an excellent means of increasing maximal strength and the rate of force development, free-weight or mass-based training may not be the most conducive means to elicit velocity-specific adaptations. Attempts have been made to combat the inherent flaws of free weights, via accommodating and variable resistance-training devices; however, such approaches are not without problems that are specific to their mechanics. More recently, pneumatic-resistance devices (variable) have been introduced as a mechanical stimulus whereby the body mass of the athlete represents the only inertia that must be overcome to initiate movement, thus potentially affording the opportunity to develop velocity-specific power. However, there is no empirical evidence to support such a contention. Future research should place further emphasis on understanding the mechanical advantages/disadvantages inherent to the resistance types being used during training, so as to elicit the greatest improvements in athletic performance.